Index.
is_floating
Check if the Index is a floating type.
The Index may consist of only floats, NaNs, or a mix of floats, integers, or NaNs.
Whether or not the Index only consists of only consists of floats, NaNs, or a mix of floats, integers, or NaNs.
See also
is_boolean
Check if the Index only consists of booleans.
is_integer
Check if the Index only consists of integers.
is_numeric
Check if the Index only consists of numeric data.
is_object
Check if the Index is of the object dtype.
is_categorical
Check if the Index holds categorical data.
is_interval
Check if the Index holds Interval objects.
is_mixed
Check if the Index holds data with mixed data types.
Examples
>>> idx = pd.Index([1.0, 2.0, 3.0, 4.0]) >>> idx.is_floating() True
>>> idx = pd.Index([1.0, 2.0, np.nan, 4.0]) >>> idx.is_floating() True
>>> idx = pd.Index([1, 2, 3, 4, np.nan]) >>> idx.is_floating() True
>>> idx = pd.Index([1, 2, 3, 4]) >>> idx.is_floating() False